Xinzhu Liu
About Xinzhu Liu
Xinzhu Liu is a Data Engineer with a strong academic background in Statistics and Psychology, having earned a Master of Science from Leiden University and a Bachelor of Science from the University of Groningen. Liu has experience in promoting statistical concepts through video presentations and has worked in various roles, including internships and volunteer positions, across international settings.
Work at Swift
Xinzhu Liu currently holds the position of Data Engineer. In this role, Liu applies expertise in data analysis and engineering to support various projects. The responsibilities include managing data pipelines, ensuring data integrity, and facilitating data-driven decision-making processes.
Education and Expertise
Xinzhu Liu has a diverse educational background. Liu studied at Shanghai No.2 High School before pursuing a Bachelor of Science in Psychology at the University of Groningen from 2011 to 2014. Liu then earned an Associate's degree in Financial Management from East China University of Political Science and Law from 2007 to 2010. Liu continued education at Leiden University, obtaining a Master of Science in Statistics from 2014 to 2016. This combination of studies in social and natural sciences contributes to Liu's strong analytical skills.
Background
Xinzhu Liu has gained international experience through various roles. Liu worked as an intern at Centraal Planbureau for five months in 2016. Additionally, Liu volunteered at Woonzorgcentra Haaglanden for one month in the same year. Prior work experience includes participation in the 2008 Summer Olympics and Expo 2010, both for one month, which provided exposure to large-scale events and project management.
Achievements
Xinzhu Liu has demonstrated a strong ability to communicate complex data insights effectively. Liu has experience in promoting statistical concepts through video presentations, enhancing understanding in scientific research contexts. This skill set supports Liu's role as a Data Engineer, where clear communication of findings is essential.